Antenna beamforming for energy harvesting in cognitive radio networks

Huidong Liu, Jin Chen, Guoru Ding, T. Tsiftsis, C. Rowell
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引用次数: 3

Abstract

In this paper, a cooperative cognitive radio network (CRN) with energy harvesting capabilities of its secondary users is considered. Specifically, cooperative spectrum sensing and multi-antenna beamforming are employed to improve the sensing performance and the energy transfer efficiency, respectively. In our approach, a homogeneous CRN scenario is studied where the optimal sensing probability of each second user (SU) is obtained to maximize the control center (CC) throughput while satisfying the energy causality and primary user (PU) collision constraints. An iterative algorithm is proposed to obtain the optimal charging time. Numerical results depict that in an energy constrained scenario, cooperative spectrum sensing with beamforming performs much better than cooperative spectrum sensing without beamforming in terms of increased system throughput.
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认知无线电网络中能量收集的天线波束形成
本文研究了一种具有二次用户能量收集能力的协同认知无线网络。具体来说,采用协同频谱感知和多天线波束成形分别提高了传感性能和能量传输效率。在此方法中,我们研究了一个均匀的CRN场景,在满足能量因果关系和主用户碰撞约束的情况下,获得每秒用户(SU)的最佳感知概率以最大化控制中心(CC)吞吐量。提出了一种求解最优充电时间的迭代算法。数值结果表明,在能量受限的情况下,配合波束形成的协同频谱感知比不配合波束形成的协同频谱感知在提高系统吞吐量方面表现得更好。
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